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VCASE: Trend / Seasonality Forecasting Assignment in Excel Month Sales in Units - By Year 1 2 3 4 January 4 8 0 5 7

VCASE: Trend / Seasonality
Forecasting Assignment in Excel
Month Sales in Units - By Year
1234
January 480575608654
February 236327397435
March 482540612683
April 448502603654
May 158208228275
June 489573605654
July 498508627684
August 430498578701
September 544585692741
October 496526581620
November 487552632763
December 525587656687
Totals 5273598168197551
<<< The trend line for this data is y =767.2 x +4488>>>
1. Determine the forecast (total) for Year 5
2. Given the above data, what forecasting technique would be appropriate?
3. Create a forecast using your recommended technique (use whole numbers)
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This CASE should be completed in Excel with the appropriate
formulas. Instructions for formulas used on e -conestoga.
There should be a total of 2 worksheets. 1st (answers) & 2nd (formulas sheet with
student Name and ID number in footer)
Upload a copy of excel file to the Assignments dropbox in eConestoga.
This assignment will be marked on the use of formulas learned in BCA1 and BCA2
Remember you want to build formulas for the future, not for the present. There should
be no numbers in the formulas! Please use cell references - not numbers - in formulas,
and use "calculated" totals to verify your data entry. Max 2 decimals

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